Feng Yan

Registered user since Mon 25 Nov 2019

Name:Feng Yan

Feng Yan is an Assistant Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. He has a broad interest in big data and system areas. His current research focus includes machine learning, cloud/edge/fog computing, high performance computing, storage, and cross-disciplinary topics among them and others. He obtained both M.S. degree and Ph.D. degree in Computer Science from the College of William and Mary, and worked at Microsoft Research and HP Labs. He was a recipient of the Best Student Paper Award at the IEEE CLOUD 2018 and the Best Paper Award at CLOUD 2019.

Country:United States
Affiliation:University of Nevada Reno
Research interests:Big Data, Deep Learning/Machine Learning, Cloud/Edge/Fog Computing, High Performance Computing, Storage Systems, Performance Modeling and Evaluation, Scheduling, MapReduce/Spark, Power Management


CloudIntelligence 2021 Author of PerfEstimator: A Generic and Extensible Performance Estimator for Data Parallel DNN Training within the CloudIntelligence 2021-track
ACSOS 2021 Publicity Chair in Organizing Committee
ACSOS 2020 PC Member in Program Committee within the Research Papers-track